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6 days ago

bhavnagar, India beBeeBackend Full time

About the RoleWe are seeking a seasoned Backend Engineer to spearhead the development of our AI Operator's core decision engine.The engine relies on a deep understanding of reality to make high-stakes financial trades, requiring robust data models and seamless data integrations.Standardize Data Schemas: Design and maintain canonical data models that normalize conflicting metrics across disparate sources.Build Deep 1P Data Integrations: Construct pipelines to ingest high-fidelity signals directly from the source.Integrate Unstructured Data & LLMs: Build workflows that scrape and process multimodal data from ad libraries and social platforms.Architect the Observer Framework: Build the logging and observation infrastructure that records every state change.Key ResponsibilitiesYou will map data from ad platforms like Meta and Google, MMPs like AppsFlyer, first-party data and internal actions into a single unified language for our models.You will fetch events, conversion values, inventory logic and customer lifetime value models directly from enterprise data warehouses like Snowflake, Databricks and Redshift.You will work with LLMs to structure chaos including competitor creatives, market trends and visual signals into quantitative inputs.You ensure that every internal decision and external market shift is captured in our standardized schema to create a perfect historical record for causal analysis.About YouWe are looking for a Systems Thinker with 4+ years of experience building high-throughput backend systems in Python, Go or Java. You care more about system design and data integrity than specific frameworks.A High Agency individual who doesn't need a ticket to know what to do.A Data Polyglot who is comfortable moving between SQL, NoSQL and message queues.An Intellectually Honest individual who is willing to challenge assumptions.Bonus PointsExperience building low-latency systems such as high-frequency trading platforms, gaming backends or real-time bidding exchanges.Experience gathering data from difficult sources where APIs do not exist or are rate-limited.Familiarity with event-driven architectures (Kafka, RabbitMQ) and managing concurrency in a high-volume environment.Experience managing ETL pipelines for terabyte-scale datasets using tools like Airflow, dbt or Spark.Compensation & Benefits$170,000 – $220,000 salary when you move to the US.Significant equity package commensurate with a founding role.Daily lunch and dinner.Relocation support for candidates moving to the Bay Area.Comprehensive health, dental, vision and unlimited PTO.

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